Description:
This session invites presentations on the latest developments in (1) experimental approaches for measuring high-dimensional data from large numbers of samples or on genome-scale data sets, (2) computational approaches to automate analysis of such data sets, and (3) application of such approaches to key biomedical systems relevant in biotechnology, disease understanding, and therapeutic development. Examples include but are not limited to: novel screening assays for drug discovery and development, next-gen high-throughput gene expression measurements, and proteomics of large numbers of samples.
Sponsor:
Engineering Fundamentals in Life Science
Co-Sponsor(s):
Bioengineering (15C)
Chair:
Co-Chair:
Nicholas Graham
Assistant Professor
University of Southern California
Mork Family Department of Chemical Engineering and Materials Science
Los Angeles, CA
Email: nagraham@usc.edu
Assistant Professor
University of Southern California
Mork Family Department of Chemical Engineering and Materials Science
Los Angeles, CA
Email: nagraham@usc.edu
Papers:
Abstract Submissions Closed
See more of this Group/Topical: Food, Pharmaceutical & Bioengineering Division
